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Yaswant Pradhan is a leading figure in aerosol modeling and prediction, whose work has been instrumental in advancing the global operational forecasting of atmospheric aerosols. His primary research focuses on multi-model ensemble techniques, aerosol climatology, and the operational integration of aerosol predictions into numerical weather prediction systems. Pradhan’s major contributions stem from his leadership within the International Cooperative for Aerosol Prediction (ICAP), where he has driven the development of the ICAP Multi-Model Ensemble (ICAP-MME). His seminal 2015 paper, which established the basic climatological characteristics of this ensemble, has garnered 132 citations, while his comprehensive 2019 update on the global operational aerosol multi-model ensemble has been cited 153 times. These works demonstrate how the ensemble grew from five to nine global models, significantly improving forecast reliability and providing a consensus framework for operational use. Pradhan’s research has directly enhanced the accuracy of aerosol forecasts used for air quality monitoring, climate studies, and aviation hazard warnings, making him a pivotal contributor to the field of atmospheric science.